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} | Fixed most issues touched on regarding multi-width runes.
Some notable issues still exist with a combination of `insert` and `remove` commands
Resolves: https://github.com/ollama/ollama/issues/3432 and resolves: https://github.com/ollama/ollama/issues/4156 | {
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https://api.github.com/repos/ollama/ollama/issues/2320 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2320/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2320/comments | https://api.github.com/repos/ollama/ollama/issues/2320/events | https://github.com/ollama/ollama/issues/2320 | 2,114,220,632 | I_kwDOJ0Z1Ps5-BHJY | 2,320 | AMD ROCm problem: GPU is constantly running at 100% | {
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When I run "ollama run Mistral" the GPU is constantly running at 100% and consuming 100 watt
But the Chat is working fine, without any Problems.
**The GPU is behaving strange:**
Before I run "ollama run Mistral" - the GPU utilization is **0%** and power: 0 watt and memory ... | {
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**ollama create glm-4-9b-chat -f ./Modelfile-glm**
transferring model data
using existing layer sha256:d7cd056b858a46ad875a4abb7b0d7cf8cde26ac1f975c18b97175fbfdb809acb
using existing layer sha256:821004920baf42135ce3fd33c72eb1022fc0215a569ea7b90337a9bf92f23294
creating new layer sha256:2d... | {
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} | This merge request introduces a new feature that adds support for response_format based on the grammar guide of llama.cpp. This new functionality has been implemented to improve the flexibility of response formats, and it has been tested and works well with both the openai library and langchain.
Please review the co... | {
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Closes #6987
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} | null | null | null | Hi everyone, I have been trying ollama across multiple servers with various specs. I also tested it on the highest package (ram/cpu) at digital ocean. I tested the same on my desktop as well as in my HPE DL380 Gen9 server that is 64GB with the following specs:
`lscpu
Architecture: x86_64
CPU ... | {
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Running the API call `curl http://localhost:11434/api/embeddings -d '{"model": "llama2", "prompt": ""}'` returns `{"embedding":null}` as expected.
Running the same API call a second time, stalls ollama completely. Restarting the service does ... | {
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} | null | null | null | ### What is the issue?
Version 1.38 works the best. Anything from 0.1.33 through 0.1.38 works great!
### OS
Windows
### GPU
_No response_
### CPU
Intel
### Ollama version
0.1.38 | {
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https://api.github.com/repos/ollama/ollama/issues/7625 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7625/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7625/comments | https://api.github.com/repos/ollama/ollama/issues/7625/events | https://github.com/ollama/ollama/issues/7625 | 2,651,155,333 | I_kwDOJ0Z1Ps6eBWuF | 7,625 | Embedded struct in `ToolFunction` | {
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https://github.com/ollama/ollama/blob/65973ceb6417c2e2796fa59bd3225bc7bd79b403/api/types.go#L165-L177
This makes creating tools really annoying.
```go
package main
import (
ollama "github.com/ollama/ollama/api"
)
var modFunctions = []ollama.Tool{{
Type: "function",
Function: ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3667 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3667/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3667/comments | https://api.github.com/repos/ollama/ollama/issues/3667/events | https://github.com/ollama/ollama/issues/3667 | 2,245,049,802 | I_kwDOJ0Z1Ps6F0L3K | 3,667 | exception create_tensor: tensor 'blk.0.ffn_gate.0.weight' not found | {
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} | null | null | null | ### What is the issue?
Getting this error when trying to use wizardlm2:8x22b-q2_K on a dual 3090 system.
ollama version is 0.1.31
Someone else is having same issue in this thread, but I think its a new issue:
ht... | {
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https://api.github.com/repos/ollama/ollama/issues/5931 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5931/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5931/comments | https://api.github.com/repos/ollama/ollama/issues/5931/events | https://github.com/ollama/ollama/pull/5931 | 2,428,540,961 | PR_kwDOJ0Z1Ps52ZIIr | 5,931 | Add llm-axe to Community Libraries in ReadMe | {
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https://api.github.com/repos/ollama/ollama/issues/3152 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3152/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3152/comments | https://api.github.com/repos/ollama/ollama/issues/3152/events | https://github.com/ollama/ollama/issues/3152 | 2,187,212,523 | I_kwDOJ0Z1Ps6CXjbr | 3,152 | Multilanguage support | {
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https://api.github.com/repos/ollama/ollama/issues/8112 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8112/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8112/comments | https://api.github.com/repos/ollama/ollama/issues/8112/events | https://github.com/ollama/ollama/issues/8112 | 2,741,393,703 | I_kwDOJ0Z1Ps6jZlkn | 8,112 | qwen2.5-vl is now supported | {
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https://api.github.com/repos/ollama/ollama/issues/7974 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7974/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7974/comments | https://api.github.com/repos/ollama/ollama/issues/7974/events | https://github.com/ollama/ollama/pull/7974 | 2,723,676,325 | PR_kwDOJ0Z1Ps6EXEjK | 7,974 | Update default model from Llama 3.2 to Llama 3.3 | {
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} | For labeled PRs, generate a full build for testing
Container builds are skipped for now, but all other supported platforms are generated. A helper script is included to easily download the artifacts as long as you have the github cli installed.
```
% ./scripts/download_pr.sh 7922
Downloading artifacts for PR 79... | null | {
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Hi all,
I have recently gotten a new Intel Arc A380 and hoped to make it work with Ollama. I have tried reading issues on Github to get a sense on how supported Intel dGPUs are and it seemed to be working for some.
I am currently running it in Docker under Proxmox LXC.
This is my comp... | {
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I'm trying to run ollama with AMD Radeon 5700XT (eGPU) on Mac Mini 2018 (Intel).
I see that only my CPU is busy, not the GPU.
![image](https://github.com/ollama/ollama/assets/1962469/d05c1... | {
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I downloaded model 3 moths ago and it worked fine, but now it doesn't work at all.
My query is `generate 20 non-existing random English-sounding nouns, less than 6 sylables`. Previously it just generated words without descriptions as expected, now with them.
When I substitute "English" ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/346 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/346/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/346/comments | https://api.github.com/repos/ollama/ollama/issues/346/events | https://github.com/ollama/ollama/pull/346 | 1,850,315,856 | PR_kwDOJ0Z1Ps5X6SaR | 346 | Add context to api docs | {
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Why is the GGUF converted instead of just being run directly like all the other inference engines (Llama.cpp, Koboldcpp, Oobabooga, LM-Studio etc).
### How should we solve this?
Let the GGUF file be able to run directly without conversion.
### What is the impact of not solving thi... | {
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| NVIDIA-SMI 551.61 Driver Version: 551.61 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name TCC/WDDM ... | {
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https://api.github.com/repos/ollama/ollama/issues/6796 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6796/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6796/comments | https://api.github.com/repos/ollama/ollama/issues/6796/events | https://github.com/ollama/ollama/issues/6796 | 2,525,693,343 | I_kwDOJ0Z1Ps6WiwWf | 6,796 | Model Library per api call | {
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https://api.github.com/repos/ollama/ollama/issues/3276 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3276/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3276/comments | https://api.github.com/repos/ollama/ollama/issues/3276/events | https://github.com/ollama/ollama/issues/3276 | 2,198,676,395 | I_kwDOJ0Z1Ps6DDSOr | 3,276 | Running Ollama with Zluda on AMD GPU for CUDA support | {
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AMD has an official build of CUDA api on top of ROCm which is called Zluda. This is a placeholder of how ollama runs on various platform with AMD Radeon GPU. Here is the link to Zluda project https://github.com/vosen/ZLUDA
### How should we solve this?
Just try to install Zluda o... | {
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https://api.github.com/repos/ollama/ollama/issues/8419 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8419/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8419/comments | https://api.github.com/repos/ollama/ollama/issues/8419/events | https://github.com/ollama/ollama/issues/8419 | 2,786,791,763 | I_kwDOJ0Z1Ps6mGxFT | 8,419 | Does ollama support video as input? | {
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https://api.github.com/repos/ollama/ollama/issues/3166 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3166/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3166/comments | https://api.github.com/repos/ollama/ollama/issues/3166/events | https://github.com/ollama/ollama/issues/3166 | 2,188,122,254 | I_kwDOJ0Z1Ps6CbBiO | 3,166 | Please add the memory requirement estimate if run with cpu and vram request for run with GPU for each model in model list. | {
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} | null | null | null | ### What are you trying to do?
I want to know if my computer can support the model or not, but currently no one can tell me.
### How should we solve this?
Add the memory needed for each model tag if run on cpu.
Add the vram needed for each model tag if run on GPU.
### What is the impact of not solving this?
All u... | null | {
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https://api.github.com/repos/ollama/ollama/issues/80 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/80/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/80/comments | https://api.github.com/repos/ollama/ollama/issues/80/events | https://github.com/ollama/ollama/pull/80 | 1,805,273,022 | PR_kwDOJ0Z1Ps5VioNa | 80 | ollama app welcome screen for first time run | {
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https://api.github.com/repos/ollama/ollama/issues/8611 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8611/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8611/comments | https://api.github.com/repos/ollama/ollama/issues/8611/events | https://github.com/ollama/ollama/issues/8611 | 2,813,726,762 | I_kwDOJ0Z1Ps6nthAq | 8,611 | /clear not actually clearing | {
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} | null | null | null | ### What is the issue?
Steps that I've done, which shows the bug. There might be a simpler sequence but this is mine.
1. ollama run hf.co/mradermacher/DS-R1-Distill-Q2.5-7B-RP-GGUF:latest
2. /set parameter num_ctx 16384
3. save chrisdeepseek
4. /bye
5. ollama run chrisdeepseek
6. create flappybird.py code.
7. (do some... | {
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https://api.github.com/repos/ollama/ollama/issues/3903 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3903/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3903/comments | https://api.github.com/repos/ollama/ollama/issues/3903/events | https://github.com/ollama/ollama/issues/3903 | 2,262,726,380 | I_kwDOJ0Z1Ps6G3nbs | 3,903 | index 0 is out of range for type 'uvm_gpu_chunk_t *[*]' | {
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"followers_url": "https://api.gi... | null | 5 | 2024-04-25T05:51:38 | 2024-10-17T19:01:25 | 2024-05-21T17:43:18 | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
I am using Ollama on Ubuntu 24.04, and am getting the following error showing up in dmesg:
[ 48.005440] ------------[ cut here ]------------
[ 48.005441] UBSAN: array-index-out-of-bounds in build/nvidia/535.171.04/build/nvidia-uvm/uvm_pmm_gpu.c:2038:44
[ 48.005443] index 0 is out of r... | {
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https://api.github.com/repos/ollama/ollama/issues/779 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/779/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/779/comments | https://api.github.com/repos/ollama/ollama/issues/779/events | https://github.com/ollama/ollama/issues/779 | 1,942,202,920 | I_kwDOJ0Z1Ps5zw6oo | 779 | API stream false doesn't seem to work | {
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} | null | null | null | I am trying to use the rest api and I am posting the following
`{
"model": "mistral",
"prompt":"tell me a fancy joke",
"stream": false
}`
And I get the following response. Doesn't stream false disable partial responses? I am using the [0.1.2](https://hub.docker.com/layers/ollama/ollama/0.1.2/images/sha25... | {
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https://api.github.com/repos/ollama/ollama/issues/5655 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5655/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5655/comments | https://api.github.com/repos/ollama/ollama/issues/5655/events | https://github.com/ollama/ollama/pull/5655 | 2,406,435,330 | PR_kwDOJ0Z1Ps51RFtk | 5,655 | remove template | {
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"html_url": "https://github.com/pdevine",
"followers_url": "https://api.github.com/users/pdevine/follower... | [] | closed | false | null | [] | null | 2 | 2024-07-12T22:37:10 | 2024-07-15T20:13:20 | 2024-07-14T03:56:24 | CONTRIBUTOR | {
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} | Remove the broken `/set template` command in the CLI. This is an alternative to #5613 that doesn't add another parameter to the `/api/chat` endpoint.
Given the `/set template` command was broken for 6 months and only one person noticed (thank you @protosam) I think it's probably safe to remove this.
| {
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https://api.github.com/repos/ollama/ollama/issues/1624 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1624/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1624/comments | https://api.github.com/repos/ollama/ollama/issues/1624/events | https://github.com/ollama/ollama/issues/1624 | 2,050,099,050 | I_kwDOJ0Z1Ps56Mgdq | 1,624 | Some questions about embedding api | {
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} | null | null | null | Hi, I have some questions about embedding api of Ollama.
As Ollama document's guide, we can use embedding API, as
```shell
curl http://localhost:11434/api/embeddings -d '{
"model": "llama2",
"prompt": "Here is an article about llamas..."
}'
```
But I feel very strange about the API.
I know some llm... | {
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https://api.github.com/repos/ollama/ollama/issues/4033 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4033/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4033/comments | https://api.github.com/repos/ollama/ollama/issues/4033/events | https://github.com/ollama/ollama/issues/4033 | 2,269,784,675 | I_kwDOJ0Z1Ps6HSipj | 4,033 | incomprehensible answers from Gemma:7b | {
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} | null | null | null | ### What is the issue?
<img width="627" alt="image" src="https://github.com/ollama/ollama/assets/113847173/34b3d3e0-70b2-4695-a86f-f824178e1b68">
Mistral:7b works fine, so I suppose that the issue is realted to the model
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.32 | {
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https://api.github.com/repos/ollama/ollama/issues/3451 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3451/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3451/comments | https://api.github.com/repos/ollama/ollama/issues/3451/events | https://github.com/ollama/ollama/issues/3451 | 2,220,024,227 | I_kwDOJ0Z1Ps6EUuGj | 3,451 | Community based github repo ollama development using agents | {
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"followers_url": "https://api.gi... | [] | open | false | null | [] | null | 0 | 2024-04-02T09:34:47 | 2024-04-19T15:41:26 | null | NONE | {
"total": 0,
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} | null | null | null | ### What are you trying to do?
I want to have a system in which the users are allowed to donate their gpu resources for development of this repo using any agent type framework where a particular user's system is given a name and a task with a particular type agent for example a developer agent or a tester agent or som... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5016 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5016/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5016/comments | https://api.github.com/repos/ollama/ollama/issues/5016/events | https://github.com/ollama/ollama/issues/5016 | 2,350,516,131 | I_kwDOJ0Z1Ps6MGgej | 5,016 | Integration with MLFlow | {
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Currently, Ollama is saving models locally on a cache. To maintain different versions of LLMs or finetuned ones and also for extensive monitoring it's a good idea to provide integration with MLFlow where we can log all the experiments on MLFlow for better monitoring of the system.. I propose integrating Ollama ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8674 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8674/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8674/comments | https://api.github.com/repos/ollama/ollama/issues/8674/events | https://github.com/ollama/ollama/issues/8674 | 2,819,400,345 | I_kwDOJ0Z1Ps6oDKKZ | 8,674 | No compatible GPUs were discovered | {
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} | null | null | null | ### What is the issue?
Hi,
i'm currently trying to setup ollama within docker. I am using the following `docker-compose.yml`:
```yaml
services:
ollama:
container_name: ollama
restart: unless-stopped
image: ollama/ollama:latest
ports:
- 11434:11434
environment:
- OLLAMA_KEEP_ALIVE=2... | null | {
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ollama version: 0.3.7-rc5
model: starcoder2:3b
I am deploying ollama for code completion and set OLLAMA_DEBUG=1, but the log file only saves the model request but not the model reponse for completion.
Does ollma have the feature to save model response in log file?
Here are the log fragments from olla... | {
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I'm trying to create an AI team that will automate tasks, but currently I can only run one inference at a time. I'm using small models around 700MB in size on a GPU with 8GB of VRAM. I know I need space for context window beyon... | {
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Basically:
patch 1 - bump llm/llama.cpp to 17bb9280
patch 2 - add rerank support
patch 3 - allow passing extra command to llama server before starting a new llmsever
pa... | null | {
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<img width="884" alt="image" src="https://github.com/jmorganca/ollama/assets/286180/e47037e1-aea8-4a13-a6fc-7841baa0db6c">
I've tried multi... | null | {
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} | I updated the llama2/3 models to llama3.1 and gemma models to gemma2 in examples where needed and where I could test the example work. Fixed the dockerit example, it was pointing to a non-existing model. Lastly, I removed a blank unused README.md file in one of the Go examples. | {
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} | `ChatOllama` is an open source chatbot based on LLMs. It supports a wide range of language models including:
- Ollama local models
- OpenAI
- Azure OpenAI
- Anthropic
- ChatOllama supports multiple types (including RAG)
feature list:
- Ollama models management
- Knowledge bases management
- Chat
- Comme... | {
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https://api.github.com/repos/ollama/ollama/issues/5825 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5825/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5825/comments | https://api.github.com/repos/ollama/ollama/issues/5825/events | https://github.com/ollama/ollama/pull/5825 | 2,421,204,697 | PR_kwDOJ0Z1Ps52AN-U | 5,825 | Remove out of space test temporarily | {
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https://api.github.com/repos/ollama/ollama/issues/5441 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5441/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5441/comments | https://api.github.com/repos/ollama/ollama/issues/5441/events | https://github.com/ollama/ollama/pull/5441 | 2,386,975,347 | PR_kwDOJ0Z1Ps50PPjv | 5,441 | cmd: createBlob with copy on disk if local server | {
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} | This PR let's users with a local server to bypass the blob upload and directly copy to models directory in server.
Resolves: https://github.com/ollama/ollama/issues/4600
Changes:
added `Authorization` to api package to pass in Authorization headers
changed `KeyPath` and `PublicKey` methods to return objects in... | {
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https://api.github.com/repos/ollama/ollama/issues/2458 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2458/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2458/comments | https://api.github.com/repos/ollama/ollama/issues/2458/events | https://github.com/ollama/ollama/pull/2458 | 2,129,246,838 | PR_kwDOJ0Z1Ps5mlp-f | 2,458 | Add support for running llama.cpp with SYCL for Intel GPUs | {
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~~If anyone wants to take a crack at finishing this PR, I'm currently stuck on this error:~~
```
No kernel named _ZTSZZL17rms_norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_cl... | null | {
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I'm trying to compile on windows and I'm getting this error
```
PS C:\my_cpp_projects\ollama> Install-Module -Name ThreadJob -Scope CurrentUser
Untrusted repository
You are installing the modules from an untrusted repository. If you trust this repository, change its
InstallationPolicy... | {
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https://api.github.com/repos/ollama/ollama/issues/1883 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1883/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1883/comments | https://api.github.com/repos/ollama/ollama/issues/1883/events | https://github.com/ollama/ollama/issues/1883 | 2,073,518,651 | I_kwDOJ0Z1Ps57l2I7 | 1,883 | /api/tags open to extension without setting OLLAMA_ORIGINS | {
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I'm not sure what's going on here, I could have sworn pre 0.1.19 ALL endpoints were restricted from chrome://extensions. But it seems I can now access /api/tags, a GET request, from an extension, without setting OLLAMA_ORIGINS?
![image](https://github.com/jmorganca/ollama/assets/525211/385915b5-c82f-44df-918b-fe82... | {
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} | null | null | null | ### What is the issue?
My system:
Ubuntu: 22.04
CPU: E5 2620
GPU: WX 9100
I have installed drivers and ROCm.
But when I try to run ollama I receive:
> time=2024-04-26T02:45:47.779Z level=INFO source=routes.go:1063 msg="Listening on 127.0.0.1:11434 (version 0.0.0)"
> time=2024-04-26T02:45:47.780Z level=INFO... | {
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I just set the chat format to JSON, then the Ollama’s speed in generating chat content slowed down by tenfold.
For example, when I use the gemma7b model and the chat format is not set, I can get a chat reply in about 0.5s to 1s.
But if I set the chat format to JSON, it usually takes 6-15 s... | null | {
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https://api.github.com/repos/ollama/ollama/issues/409 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/409/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/409/comments | https://api.github.com/repos/ollama/ollama/issues/409/events | https://github.com/ollama/ollama/issues/409 | 1,866,634,833 | I_kwDOJ0Z1Ps5vQpZR | 409 | Custom model based on codellama just outputs blank lines | {
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I created a custom model based on codellama with a system message explaining its task, but when I run it with my input, the model just infinitely outputs blank lines.
I saw on a [comment on Hacker News](https://news.ycombinator.com/item?id=3725269... | {
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https://api.github.com/repos/ollama/ollama/issues/5610 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5610/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5610/comments | https://api.github.com/repos/ollama/ollama/issues/5610/events | https://github.com/ollama/ollama/issues/5610 | 2,401,424,638 | I_kwDOJ0Z1Ps6PItT- | 5,610 | /clear - clears the terminal | {
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How can we make the /clear command clear the terminal as well?
Thanks | {
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https://api.github.com/repos/ollama/ollama/issues/3640 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3640/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3640/comments | https://api.github.com/repos/ollama/ollama/issues/3640/events | https://github.com/ollama/ollama/issues/3640 | 2,242,234,223 | I_kwDOJ0Z1Ps6Fpcdv | 3,640 | Offering to help with readme PRs | {
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there are a lot of PRs that come in for new UIs and such, i'd like to offer to accept them as they come in
### How should we solve this?
Just keep being great
### What is the impact of not solving this?
None, my UI is already in the list 😅, but I know that there is a lot for y'all ... | {
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} | null | null | null | ### What is the issue?
Hello
I am trying to work on on llama3.1 70B f16 , it seems not to work properly for some reason
```
root@xxxxx:/home/ollama/models# ollama run llama3.1:70b-instruct-fp16
Error: llama runner process no longer running: -1
```
how to investiagte in this part ?!
### OS
Linux
###... | {
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https://anaconda.org/conda-forge/ollama
current values 2024-June-25
linux-64 v0.1.17
osx-64 v0.1.17
osx-arm64 v0.1.17
win-64 v0.1.17
is too old and is lacking in model-compatibility . Please note I appreciate your efforts and this featu... | {
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https://api.github.com/repos/ollama/ollama/issues/2842 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2842/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2842/comments | https://api.github.com/repos/ollama/ollama/issues/2842/events | https://github.com/ollama/ollama/issues/2842 | 2,161,904,474 | I_kwDOJ0Z1Ps6A3Ata | 2,842 | Official Desktop GUI app | {
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The official GUI app will install Ollama CLU and Ollama GUI
The GUI will allow you to do what can be done with the Ollama CLI which is mostly managing models and configuring Ollama. Essentially making Ollama GUI a user fr... | {
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Why any question show text not formatted at console like this:
<code>A number \\( a \\) has a multiplicative inverse modulo \\( n \\) if there exists an integer \\( b \\) such that:
\\[ (a \\cdot b) \\equiv 1 \\pmod{n} \\]</code>
Ollama Win64 0.3.14.0.
Old version 0.3.10.0 has same issue... | {
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But it would be more convenient in my opinion to have the port a flag as well. Mostly because I often end up running two instances of ollama, one with gpu acceleration and one without.
The t... | {
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https://api.github.com/repos/ollama/ollama/issues/3570 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3570/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3570/comments | https://api.github.com/repos/ollama/ollama/issues/3570/events | https://github.com/ollama/ollama/issues/3570 | 2,234,799,590 | I_kwDOJ0Z1Ps6FNFXm | 3,570 | More details in Model Info | {
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Would it be possible to expose more information in the model info (https://github.com/ollama/ollama/blob/main/docs/api.md#show-model-information) API, such as the context length, embedding length etc.? Basically, the more the merrier 😄
This would be useful to provide additional info... | {
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https://api.github.com/repos/ollama/ollama/issues/4811 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4811/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4811/comments | https://api.github.com/repos/ollama/ollama/issues/4811/events | https://github.com/ollama/ollama/issues/4811 | 2,333,132,365 | I_kwDOJ0Z1Ps6LEMZN | 4,811 | ollama qwen long text problem | {
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When I Use ollama, deploy [qwen:110b-chat-v1.5-q6_K](https://ollama.com/library/qwen:110b-chat-v1.5-q5_K_M) model
When the context (Chinese) exceeds around 3000 characters (not precise), it fails to recognize the system prompt.
I tried increasing num_ctx to 32768 or max_tokens to 32768 thr... | null | {
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https://api.github.com/repos/ollama/ollama/issues/379 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/379/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/379/comments | https://api.github.com/repos/ollama/ollama/issues/379/events | https://github.com/ollama/ollama/issues/379 | 1,856,674,284 | I_kwDOJ0Z1Ps5uqpns | 379 | Windows usage broken | {
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- While loading tags the filepath.Walk in server/routes.go:340 returns null. Why? Because on line 355 "slashIndex := strings.LastIndex(path, "/")" returns -1 since a windows path does not cont... | {
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https://api.github.com/repos/ollama/ollama/issues/5551 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5551/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5551/comments | https://api.github.com/repos/ollama/ollama/issues/5551/events | https://github.com/ollama/ollama/pull/5551 | 2,396,639,589 | PR_kwDOJ0Z1Ps50v8-D | 5,551 | OpenAI v1/completions: allow stop token list | {
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} | Resolves #5545 | {
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https://api.github.com/repos/ollama/ollama/issues/2170 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2170/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2170/comments | https://api.github.com/repos/ollama/ollama/issues/2170/events | https://github.com/ollama/ollama/issues/2170 | 2,098,012,279 | I_kwDOJ0Z1Ps59DSB3 | 2,170 | Question: Are `qwen:72b-chat` and `qwen:72b-text` about to be added to `ollama.ai`? | {
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It says this on the 'Overview' page:
>This model is offered in four different parameter size tags:
>
>- `qw... | {
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https://api.github.com/repos/ollama/ollama/issues/77 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/77/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/77/comments | https://api.github.com/repos/ollama/ollama/issues/77/events | https://github.com/ollama/ollama/pull/77 | 1,803,557,331 | PR_kwDOJ0Z1Ps5Vcwlo | 77 | continue conversation | {
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} | feed responses back into the llm | {
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https://api.github.com/repos/ollama/ollama/issues/2274 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2274/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2274/comments | https://api.github.com/repos/ollama/ollama/issues/2274/events | https://github.com/ollama/ollama/issues/2274 | 2,107,737,683 | I_kwDOJ0Z1Ps59oYZT | 2,274 | EDIT: `codellama-70b-instruct` is so censored it's basically useless, but useful info in the thead so will leave it open... | {
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} | null | null | null | I pulled the 8-bit quant overnight using `ollama pull codellama:70b-instruct-q8_0` and seem to be having problems with it.
I've tried the default Ollama modelfile and also what I think is the correct prompt template based off the `tokenizer_config.json` that got added overnight:
```
TEMPLATE """{{ if .First }}<s... | {
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https://api.github.com/repos/ollama/ollama/issues/1630 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1630/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1630/comments | https://api.github.com/repos/ollama/ollama/issues/1630/events | https://github.com/ollama/ollama/issues/1630 | 2,050,516,738 | I_kwDOJ0Z1Ps56OGcC | 1,630 | cant type | {
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| {
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https://api.github.com/repos/ollama/ollama/issues/333 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/333/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/333/comments | https://api.github.com/repos/ollama/ollama/issues/333/events | https://github.com/ollama/ollama/pull/333 | 1,847,205,158 | PR_kwDOJ0Z1Ps5XvzuE | 333 | ggml: fix off by one error | {
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} | remove used Unknown FileType | {
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https://api.github.com/repos/ollama/ollama/issues/7172 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7172/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7172/comments | https://api.github.com/repos/ollama/ollama/issues/7172/events | https://github.com/ollama/ollama/issues/7172 | 2,581,066,146 | I_kwDOJ0Z1Ps6Z1_Gi | 7,172 | Llama 3.2 11B and 90B | {
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https://api.github.com/repos/ollama/ollama/issues/1932 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1932/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1932/comments | https://api.github.com/repos/ollama/ollama/issues/1932/events | https://github.com/ollama/ollama/pull/1932 | 2,077,695,946 | PR_kwDOJ0Z1Ps5j3S_0 | 1,932 | api: add model for all requests | {
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} | Prefer using `req.Model` and fallback to `req.Name`. `req.Model` is already the field name for generate and chat which are by far the most popular endpoints. This change aligns the other requests.
Also update `CopyRequest.Destination` to `CopyRequest.Target` which better describe field | {
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https://api.github.com/repos/ollama/ollama/issues/5747 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5747/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5747/comments | https://api.github.com/repos/ollama/ollama/issues/5747/events | https://github.com/ollama/ollama/issues/5747 | 2,413,549,255 | I_kwDOJ0Z1Ps6P29bH | 5,747 | Support to Intel NPU by Intel NPU Acceleration Library | {
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There is already a library for this https://github.com/intel/intel-npu-acceleration-library and i.e. for Phi-3 is great.
I am sure that NPUs will be everywhere, and they will be a viable alternative to CUDA and Nvidia GPUs, imho.
... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1402 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1402/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1402/comments | https://api.github.com/repos/ollama/ollama/issues/1402/events | https://github.com/ollama/ollama/issues/1402 | 2,028,973,688 | I_kwDOJ0Z1Ps547654 | 1,402 | Optimum-NVIDIA - Unlock blazingly fast LLM inference in just 1 line of code | {
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https://huggingface.co/blog/optimum-nvidia | {
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} | null | null | null | ### What is the issue?
**Platform: Google Colab**
**GPU : Nvidia T4**
**RAM : 12.7 GB**
**Python: 3.10.12**
**why the input prompt is getting truncated to 2048?**
```
time=2024-12-02T09:25:57.024Z level=INFO source=sched.go:507 msg="updated VRAM based on existing loaded models" gpu=GPU-cf31ce6b-6d8b-ba6f-ba... | {
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https://api.github.com/repos/ollama/ollama/issues/3697 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3697/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3697/comments | https://api.github.com/repos/ollama/ollama/issues/3697/events | https://github.com/ollama/ollama/issues/3697 | 2,248,126,394 | I_kwDOJ0Z1Ps6F_6-6 | 3,697 | No llama.cpp acknowledgement | {
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} | null | null | null | ### What is the issue?
This project is heavily dependent on [llama.cpp](https://github.com/ggerganov/llama.cpp), as seen [in this search](https://github.com/search?q=repo%3Aollama%2Follama%20llama.cpp&type=code), but there is no mention of that in the readme. This creates some conflict and distaste for this project... | {
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https://api.github.com/repos/ollama/ollama/issues/6702 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6702/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6702/comments | https://api.github.com/repos/ollama/ollama/issues/6702/events | https://github.com/ollama/ollama/issues/6702 | 2,512,472,182 | I_kwDOJ0Z1Ps6VwUh2 | 6,702 | Problem Serving Custom LLAMA3 Using Google Cloud Run | {
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} | null | null | null | ### What is the issue?
I can run a custom LLAMA3 model locally using this docker config
```
FROM ollama/ollama:latest
COPY custom_llama.txt /App/custom_llama.txt
WORKDIR /App
RUN ollama serve & sleep 5 && ollama create ai-agent -f custom_llama.txt && ollama run ai-agent
EXPOSE 11434
```
However... | {
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Failed to load dynamic library on Windows when the user name and path have Chinese characters.
I tried replacing the user with a non-Chinese name and the problem no longer occurs.
```
time=2024-03-27T14:21:24.451+08:00 level=INFO source=images.go:710 msg="total blobs: 3"
time=2024-03-27T14... | {
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I checked the https://ollama.com/library but can not find the DBRX in list.
May I run DBRX model on local machine, CPU and GPU, like ollama run dbrx-xxx-yyyy?
Thanks, | {
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Fine-tuned the Llama3 8b model for my custom dataset following the llama3 template, used the unsloth library for fine-tuning, and generated the GGUF file.
Got relevant results when using this model for inference, but when I created the Modelfile and ran it as an Ollama process, the responses... | null | {
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https://ollama.com/library/glm4
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.2.7 | {
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} | select install dir based what's in the PATH. if `/usr/local/bin` is in the path, install into there, otherwise `/usr/bin` or `/bin`, in order | {
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https://api.github.com/repos/ollama/ollama/issues/319 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/319/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/319/comments | https://api.github.com/repos/ollama/ollama/issues/319/events | https://github.com/ollama/ollama/pull/319 | 1,845,882,473 | PR_kwDOJ0Z1Ps5XrTxG | 319 | RFC: optional generate header to not stream response | {
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} | Add an optional request header to the generate endpoint that returns the full response in one JSON body, rather than streaming:
```
curl -X POST -H "Content-Type: application/json" -H "X-Streamed: false" -d '{
"model": "llama2",
"prompt": "why is the sky blue?"
}' 'localhost:11434/api/generate'
```
The... | {
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https://api.github.com/repos/ollama/ollama/issues/8544 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8544/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8544/comments | https://api.github.com/repos/ollama/ollama/issues/8544/events | https://github.com/ollama/ollama/issues/8544 | 2,805,760,863 | I_kwDOJ0Z1Ps6nPINf | 8,544 | API parameter: 'reasoning_effort' (for DeepSeek-R1) | {
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Doc: https://api-docs.deepseek.com/guides/reasoning_model | null | {
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} | null | null | null | It is really a great model with excellent RAG support, great for server cpu inferencing with big memory. Its only 21b active parameters. Looks like llama.cpp is working on it, could you please also support it.
A lot of people are waiting for the support of this model.
Many Thanks
Yuming | {
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} | ## Summary
Fixed an issue with the `/api/tags` endpoint where an empty model list was returning `{models: null}`. The endpoint now returns `{models: []}` when no models are available. | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I try to run `ollama run codegemma`, but on the `pulling manifest` stage I get the following error:
```
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/codegemma/manifests/latest": dial tcp: lookup registry.ollama.ai on 10.89.3.1:53: read udp 10.89.3.11:54907->10.89.... | {
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https://api.github.com/repos/ollama/ollama/issues/8632 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8632/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8632/comments | https://api.github.com/repos/ollama/ollama/issues/8632/events | https://github.com/ollama/ollama/issues/8632 | 2,815,629,446 | I_kwDOJ0Z1Ps6n0xiG | 8,632 | Ollama unable to download/run deepseek-r1:7b, other models work | {
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} | null | null | null | ### What is the issue?
while trying to run `ollama run deepseek-r1:7b` it repeatedly fails at 6%. I tried to run llama 3.2 and it downloaded that flawlessly, but everytime i try to run deepseek i get an error saying `error max retries exceeded: EOF`
### OS
WSL2
### GPU
Nvidia
### CPU
AMD
### Ollama version
lat... | {
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https://api.github.com/repos/ollama/ollama/issues/4016 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4016/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4016/comments | https://api.github.com/repos/ollama/ollama/issues/4016/events | https://github.com/ollama/ollama/issues/4016 | 2,267,978,945 | I_kwDOJ0Z1Ps6HLpzB | 4,016 | Export Pulled Model | {
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"total": 0,
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} | null | null | null | I run a service on an offline server, so I can't use the "pull" command directly.
How can I export a pulled Model in a online computer( e.g. Windows PC) and import it to the offline server(Linux).
Importing from gguf or torch tensor sometimes can't run normally.
It would be better if we can directly download mode... | {
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https://api.github.com/repos/ollama/ollama/issues/4116 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4116/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4116/comments | https://api.github.com/repos/ollama/ollama/issues/4116/events | https://github.com/ollama/ollama/pull/4116 | 2,276,818,468 | PR_kwDOJ0Z1Ps5ubaCu | 4,116 | Update 'llama2' -> 'llama3' in most places | {
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"follo... | [] | closed | false | null | [] | null | 0 | 2024-05-03T03:12:22 | 2024-05-03T19:25:04 | 2024-05-03T19:25:04 | CONTRIBUTOR | {
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} | null | {
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https://api.github.com/repos/ollama/ollama/issues/7075 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7075/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7075/comments | https://api.github.com/repos/ollama/ollama/issues/7075/events | https://github.com/ollama/ollama/issues/7075 | 2,560,804,262 | I_kwDOJ0Z1Ps6YosWm | 7,075 | Hallucination fix? | {
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} | null | null | null | Hi, when i use the models(llama3:70b/llama3:latest) via ollama, it seems to keep track of all the conversations and query. This causes hallucination and information to appear across different channels which shouldnt be the case. What could be a possible remedy for this? Would it be possible to instaniate the model with... | {
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https://api.github.com/repos/ollama/ollama/issues/4701 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4701/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4701/comments | https://api.github.com/repos/ollama/ollama/issues/4701/events | https://github.com/ollama/ollama/issues/4701 | 2,322,997,438 | I_kwDOJ0Z1Ps6KdiC- | 4,701 | Quick model updates with `ollama pull` | {
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"total": 0,
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} | null | null | null | Hi,
I would like to be able to update models that I have previously downloaded.
When I do this, `ollama pull` does 2 steps:
1. It checks if the model is up-to-date and if not, it downloads the newest version
1. It checks the sha256 digest
Unfortunately, step 2 is always performed, even when it is not needed, w... | {
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https://api.github.com/repos/ollama/ollama/issues/2313 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2313/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2313/comments | https://api.github.com/repos/ollama/ollama/issues/2313/events | https://github.com/ollama/ollama/pull/2313 | 2,113,096,710 | PR_kwDOJ0Z1Ps5lu4PN | 2,313 | Feature - Add Wingman Extension | {
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} | Add Wingman-AI VSCode extension to README
#2297 | {
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